Xiaomi 2412DPC0AG
Geekbench AI Score
819
Single Precision Score
5033
Half Precision Score
6615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Stuartpocox7pro |
| Upload Date | June 28 2025 10:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2412DPC0AG |
| Model ID | Xiaomi 2412DPC0AG |
| Motherboard | rodin |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores @ 2.10 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.1 IPS |
|
|
Image Classification (HP)
|
100% |
2487
462.6 IPS |
|
|
Image Classification (Q)
|
99% |
5610
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1250
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6571
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
12815
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
51392
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.0 IPS |
|
|
Object Detection (HP)
|
100% |
3100
245.9 IPS |
|
|
Object Detection (Q)
|
86% |
3709
298.3 IPS |
|
|
Face Detection (SP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
8661
102.9 IPS |
|
|
Face Detection (Q)
|
97% |
9052
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
620
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
13196
101.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
22141
210.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2116
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
39352
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
131469
169.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6896
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18128
671.7 IPS |
|
|
Text Classification (SP)
|
100% |
81
108.6 IPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
93% |
990
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
60% |
254
5.71 IPS |
